Audio-Visual Quality Monitoring via User Feedback Correlation
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Solution Overview
Problem
Current monitoring and diagnostics systems for audio-visual quality rely solely on data analysis, which cannot reveal actual quality impairments experienced by users, leading to inefficient resource allocation and potential unnecessary repairs.
Innovation Solution
A method where users provide feedback on audio-visual content quality through a network, with feedback data combined with automatically detected data to accurately assess and evaluate the quality, triggering appropriate actions based on user-reported impairments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current monitoring systems rely solely on data analysis from system components, then automated quality monitoring is achieved, but actual user-experienced quality impairments cannot be detected
Solution Approach 1:
The patent implements a feedback mechanism where users directly report quality impairments they experience through a user interface. This user feedback is then processed and correlated with system data to accurately identify and prioritize quality issues that actually affect user experience, rather than relying solely on automated system monitoring that may detect technical parameters without understanding their impact on users.
2Productivity
If packet loss events are used as the key criterion to determine quality issues, then automated detection is simplified, but resources are wasted on fixing problems that do not cause service degradation
Solution Approach 1:
The system correlates automated packet loss detection with actual user feedback reports. Only when packet loss events coincide with user-reported quality impairments are faults prioritized for repair. This prevents waste of resources on fixing packet loss issues that do not actually degrade user experience, while maintaining efficient automated detection capabilities.
Solution Approach 2:
The patent changes the criterion for fault prioritization from purely technical parameters (packet loss events) to a combination of technical parameters and user experience parameters. This parameter change allows the system to distinguish between packet loss that actually impacts users versus packet loss that is tolerable or undetectable to users, optimizing resource allocation for repairs.
3Measurement precision
If user feedback is collected and processed, then accurate quality determination is achieved, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional quality monitoring system that simultaneously processes user feedback, correlates it with automated system data, performs fault detection, prioritization, and repair management. This universal approach consolidates multiple functions into an integrated system, managing complexity through unified processing rather than separate specialized systems.
Solution Approach 2:
The system introduces an intermediary processing layer that receives both user feedback and automated system data, correlates them, and generates unified quality assessments and fault priorities. This intermediary component mediates between the simplicity of direct monitoring and the accuracy of comprehensive analysis, managing complexity through structured intermediate processing.
Data Source
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AI summary
A method for data processing is provided, wherein first data are generated by at least one user, wherein the first data are associated with a quality of an audio and / or video content, and wherein the first data are provided towards or received from a first network. Furthermore, a device is suggested for execution of the method and a system comprising such a device.